MARC details
| 000 -LEADER |
| fixed length control field |
03467cam a2200433 i 4500 |
| 001 - CONTROL NUMBER |
| control field |
18053182 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
| control field |
20230606063501.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
| fixed length control field |
140303s2014 njua b 001 0 eng d |
| 010 ## - LIBRARY OF CONGRESS CONTROL NUMBER |
| LC control number |
2014005823 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
| International Standard Book Number |
9781118618042 (hardback) |
| 040 ## - CATALOGING SOURCE |
| Original cataloging agency |
DLC |
| Language of cataloging |
eng |
| Transcribing agency |
DLC |
| Description conventions |
rda |
| Modifying agency |
DLC |
| 042 ## - AUTHENTICATION CODE |
| Authentication code |
pcc |
| 050 00 - LIBRARY OF CONGRESS CALL NUMBER |
| Classification number |
HD30.2 |
| Item number |
.D39 2014 |
| 082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER |
| Classification number |
658.05631 |
| Edition number |
23 |
| Item number |
D.J.B |
| 084 ## - OTHER CLASSIFICATION NUMBER |
| Classification number |
COM021030 |
| Source of number |
bisacsh |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
| Personal name |
Dean, Jared, |
| Dates associated with a name |
1978- |
| Relator term |
author |
| 9 (RLIN) |
33312 |
| 245 10 - TITLE STATEMENT |
| Title |
Big data, data mining and machine learning : |
| Remainder of title |
value creation for business leaders and practitioners / |
| Statement of responsibility, etc |
Jared Dean. |
| 264 #1 - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
| Place of publication, distribution, etc |
Hoboken, New Jersey : |
| Name of publisher, distributor, etc |
John Wiley and Sons, Inc., |
| Date of publication, distribution, etc |
[2014] |
| 300 ## - PHYSICAL DESCRIPTION |
| Extent |
xix, 265 pages : |
| Other physical details |
illustrations ; |
| Dimensions |
24 cm. |
| 336 ## - CONTENT TYPE |
| Content type term |
text |
| Source |
rdacontent |
| 337 ## - MEDIA TYPE |
| Media type term |
unmediated |
| Source |
rdamedia |
| 338 ## - CARRIER TYPE |
| Carrier type term |
volume |
| Source |
rdacarrier |
| 490 0# - SERIES STATEMENT |
| Series statement |
Wiley & SAS business series |
| 500 ## - GENERAL NOTE |
| General note |
engineering bookfair2016 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
| Bibliography, etc |
Includes bibliographical references (pages 247-251) and index. |
| 505 0# - FORMATTED CONTENTS NOTE |
| Formatted contents note |
Hardware --<br/>Distributed systems --<br/>Analytical tools --<br/>Predictive modeling --<br/>Common predictive modeling techniques --<br/>Segmentation --<br/>Incremental response modeling --<br/>Time series date mining --<br/>Recommendation systems --<br/>Text analytics --<br/>Case study of a large U.S.-based financial services company --<br/>Case study of a major health care provider --<br/>Case study of a technology manufacturer --<br/>Case study of online brand management --<br/>Case study of mobile application recommendations --<br/>Case study of a high-tech product manufacturer --<br/>Looking to the future. |
| 520 ## - SUMMARY, ETC. |
| Summary, etc |
"An expert guide to high performance computing architectures and how they relate to analytics and data miningWith the exponential growth of data comes an ever-increasing need to process and analyze so-called Big Data. High Performance Data Mining and Big Data Analytics provides a comprehensive view of the recent trend toward high performance computing architectures and its natural connection to analytics and data mining. You'll find coverage of topics including: big data, high performance computing for analytics, massively parallel processing (MPP) databases, in-memory analytics, implementation of machine learning algorithms for big data platforms, text analytics, analytics environments, the analytics lifecycle, general applications, as well as a variety of cases. Offers coverage of business analytics, predictive modeling, and fact-based management Includes case studies featuring multinational companies Explores recent trends in high performance computing architectures relating to data mining Filled with case studies, High Performance Data Mining and Big Data Analytics provides a thorough grounding for optimally putting data mining and big data analytics to work for your organization"-- |
| Assigning source |
Provided by publisher. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name as entry element |
Management |
| General subdivision |
Data processing. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name as entry element |
Data mining. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name as entry element |
Big data. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name as entry element |
Database management. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name as entry element |
Information technology |
| General subdivision |
Management. |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name as entry element |
COMPUTERS / Database Management / Data Mining. |
| Source of heading or term |
bisacsh |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
| Display text |
Online version: |
| Main entry heading |
Dean, Jared, 1978- |
| Title |
High performance data mining and machine learning |
| Place, publisher, and date of publication |
Hoboken, New Jersey : John Wiley and Sons, Inc., [2014] |
| International Standard Book Number |
9781118920695 |
| Record control number |
(DLC) 2014009116 |
| 906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) |
| a |
7 |
| b |
cbc |
| c |
orignew |
| d |
1 |
| e |
ecip |
| f |
20 |
| g |
y-gencatlg |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
Books |